Development of machine learning model algorithm for prediction of 5-year soft tissue myxoid liposarcoma survival.

Journal: Journal of surgical oncology
PMID: 33684246

Abstract

BACKGROUND: Predicting survival in myxoid liposarcoma (MLS) patients is very challenging given its propensity to metastasize and the controversial role of adjuvant therapy. The purpose of this study was to develop a machine-learning algorithm for the prediction of survival at five years for patients with MLS and externally validate it using our institutional cohort.

Authors

  • Pramod N Kamalapathy
    Department of Orthopedic Surgery, Musculoskeletal Oncology Service, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA.
  • Dipak B Ramkumar
    Department of Orthopedic Surgery, Musculoskeletal Oncology Service, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA.
  • Aditya V Karhade
    Computational Neurosciences Outcomes Center, Department of Neurosurgery, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA.
  • Sean Kelly
    Department of Orthopedic Surgery, Musculoskeletal Oncology Service, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA.
  • Kevin Raskin
    Department of Orthopedic Surgery, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA.
  • Joseph Schwab
    Department of Orthopedic Surgery, Musculoskeletal Oncology Service, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA.
  • Santiago Lozano-Calderon
    Department of Orthopedic Surgery, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA.

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